Custom sub-problem solvers. BO is designed for problems with (a small
number of) continuous variables and hence is well-suited for
(REF ); it is not designed for (). We should
instead use schemes customized for () such as
MCTS [1]} or Thompson sampling for combinatorial
multi-armed bandits [2]}. In
Figure REF , we consider BO for (REF ) and
bandits for () – AdADMM-\(F8\) (BO,Ba) & AdADMM-\(F16\) (BO,Ba) –
which further improves over adaptive ADMM, demonstrating \(140\times \) 
speedup over JOPT(BO) with an additional \(29\%\)  improvement in the objective
value.
